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How to create a successful onboarding process
Why onboarding is crucial for customer retention
How to measure the success of onboarding
Multivariate Testing is Faster
With multivariate testing, you can try out several ideas at the same time. That means you can simultaneously test multiple hypotheses. This will allow you to optimize your page or site much more quickly than you could with a long series of A/B tests.
Plus, running a multivariate test will greatly improve the odds that a single test will deliver at least one positive result, allowing you to start getting more from your website sooner.
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26 reads
MORE IDEAS ON THIS
Should You Test Multiple Variants?
As great as multivariate testing is, if you don’t have enough traffic, a test could take months or years to complete.
In fact, in true multivariate testing—where you test to see how a large number of subtle changes interact to generate your conversion rate—you want at least 100,000 unique v...
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31 reads
A/B Testing
Over the years, conversion rate optimization (CRO) seems to have become synonymous with A/B testing in the minds of many marketers.
A/B testing is a form of conversion rate optimization. You have a page and you want it to perform better, so you change something and see if it improves your r...
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74 reads
Multiple Variant Testing
Optimizely studied & reported on the factors that defined the world’s best testing companies.
The 4 biggest factors were:
- Testing the things that drive the most revenue
- Testing every change
- Testing to solve real problems
- Testing multiple variants simultan...
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38 reads
Multivariate Testing is More Reliable
Things like differences in your competitors' marketing strategies, political change, or a variety of other variables can make it difficult to directly compare the results of A/B tests.
As a result, sometimes it can be hard to know if a particular A/B testing variant succeeded (or failed) be...
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23 reads
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Multiple Variant Testing
Optimizely studied & reported on the factors that defined the world’s best testing companies.
The 4 biggest factors were:
- Testing the things that drive the most revenue
- Testing every change
- Testing to solve real problems
- Testing multiple variants simultan...
Multivariate Testing is More Reliable
Things like differences in your competitors' marketing strategies, political change, or a variety of other variables can make it difficult to directly compare the results of A/B tests.
As a result, sometimes it can be hard to know if a particular A/B testing variant succeeded (or failed) be...
How Does A/B Testing Work?
A/B testing works by randomly showing two versions of the same asset (ad, website, pop-up, offer, etc.) to different users. The random part is important because this provides more accurate information without skewing the results.
One version is the “control” group, or the version already i...
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